Exposing the Limitations of Chatbot Intelligence: A Case Study in AI Governance
This AI incident showcases the need for robust governance mechanisms in chatbot development, aligning with the Govern function within the HI...
Read moreValues Statement: We believe AI should cause no harm, but enhance the quality of human life, by proactively adopting our AI Governance framework.
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AI Incidents
Data source & citationLA Wildfires and Waze: Ensuring Responsible AI for Harm Prevention
The recent California fires have raised concerns about how AI, in this case Waze, responds to such emergencies. We investigated and found th...
Read moreLessons Learned from the Self-Driving Shuttle's First-Day Incident: Highlighting Safe and Secure AI
This self-driving shuttle accident sheds light on the importance of responsible AI governance, particularly in the realm of autonomous vehic...
Read moreTragic Incident: AI-controlled Robot Accidentally Kills Worker at Volkswagen Plant - Emphasizing Safe and Secure AI
In a shocking incident, an AI-controlled robot at a Volkswagen plant in Germany has killed a worker. This unfortunate event underscores the...
Read moreCalifornia Autonomous Vehicle Incident Involving Google and Delphi: An Opportunity for Responsible AI Harm Prevention
This incident involving Google's and Delphi's self-driving cars in California offers insights into the need for safe and secure AI. It maps...
Read moreFace ID Breach Highlights Need for Improved AI Security: Apple's iPhone X Hacked with a Mask
This incident underscores the importance of secure AI systems. Hackers managed to bypass Apple's Face ID on an iPhone X using a simple mask,...
Read moreNear Disaster Averted: The Remarkable Story of Stanislav Petrov's Role in Preventing a Global Nuclear War in 1983 - Illustrating the Importance of Responsible AI Governance
This historic incident serves as a poignant reminder of the vital role that responsible AI governance plays in ensuring safety and preventin...
Read moreThe Boeing 737 Max 8 Incident: An Example of AI Safety Challenges (Leaking Abstractions) in Real-World Applications
This AI incident involving the Boeing 737 Max 8 aircraft serves as a stark reminder of the importance of responsible AI, especially in criti...
Read more2010 'Flash Crash': A Case Study on AI Responsibility and Governance
Investigate the 2010 'flash crash', a notable incident highlighting the potential risks in AI trading systems. This AI incident maps to the...
Read moreExploring the Myth of the Neural Net Tank: Lessons in Responsible AI
This urban legend about a self-modifying tank showcases the potential risks of unchecked AI development. By understanding this incident, we...
Read moreUnsafe AI Incident: Tesla Autopilot Mishap Highlights Need for Responsible AI
Incident analysis of a Tesla accident involving its Autopilot system emphasizes the importance of safe and secure AI. This AI incident maps...
Read moreDriverless Delhi Metro Train Accident: Mapping AI Governance for Safer Systems - HISPI Project Cerebellum
A tragic accident occurred on the Magenta line of the Delhi Metro today, where a driverless train crashed through a wall. This incident maps...
Read moreData source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.